mirror of
https://github.com/webclinic017/drift.git
synced 2026-07-31 20:57:51 +00:00
Mark Aron Szulyovszky
797d45d036
* feat: Basic pipeline extended. * feat: Added conversion of model list to existing structure (model_name, model_in_time). Fixed loading of previous models and dicts. * fix: Had an unfinished function. * fix: Inference wasn't getting model_over_time. Now transformations are not getting it either yet. Co-authored-by: Daniel Szemerey <szemereydaniel@gmail.com>
44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
import pickle
|
|
import datetime
|
|
from typing import Optional, Union
|
|
import os
|
|
import warnings
|
|
from reporting.types import Reporting
|
|
|
|
|
|
|
|
def save_models(all_models_for_all_assets: list[Reporting.Asset], data_config:dict, training_config:dict, model_config:dict) -> None:
|
|
dict_for_pickle = dict()
|
|
dict_for_pickle['training_config'] = training_config
|
|
dict_for_pickle['data_config'] = data_config
|
|
dict_for_pickle['model_config'] = model_config
|
|
dict_for_pickle['all_models_for_all_assets'] = all_models_for_all_assets
|
|
|
|
date_string = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M")
|
|
|
|
if not os.path.exists('output/models'):
|
|
warnings.warn("No folder exists, creating one.")
|
|
os.makedirs('output/models')
|
|
|
|
pickle.dump( dict_for_pickle, open( "output/models/{}.p".format(date_string), "wb" ) )
|
|
|
|
|
|
def load_models(file_name:Union[str, None]) -> tuple[list[Reporting.Asset], dict, dict, dict]:
|
|
|
|
if file_name is None:
|
|
warnings.warn("No file name provided, will load latest models and configurations.")
|
|
files_in_directory:list = os.listdir('output/models')
|
|
|
|
assert len(files_in_directory) > 0, "No models found in output/models."
|
|
file_name = sorted(files_in_directory)[-1]
|
|
|
|
packacked_dict = pickle.load( open( "output/models/{}".format(file_name), "rb" ) )
|
|
|
|
data_config = packacked_dict.pop("data_config", None)
|
|
training_config = packacked_dict.pop("training_config", None)
|
|
model_config = packacked_dict.pop("model_config", None)
|
|
all_models_for_all_assets = packacked_dict.pop("all_models_for_all_assets", None)
|
|
|
|
return all_models_for_all_assets, data_config, training_config, model_config
|
|
|